| google/deepvariant |
2,978 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
bsd-3-clause |
Python |
| DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. |
| hussius/deeplearning-biology |
1,846 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
|
| A list of deep learning implementations in biology |
| greenelab/deep-review |
1,186 |
|
0 |
0 |
over 4 years ago |
0 |
|
422 |
other |
HTML |
| A collaboratively written review paper on deep learning, genomics, and precision medicine |
| deeptools/deepTools |
624 |
|
0 |
0 |
over 2 years ago |
0 |
|
127 |
other |
Python |
| Tools to process and analyze deep sequencing data. |
| isaacmg/healthcare_ml |
426 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
|
| A curated list of ML|NLP resources for healthcare. |
| lucidrains/enformer-pytorch |
359 |
|
0 |
1 |
over 2 years ago |
98 |
November 03, 2023 |
6 |
mit |
Python |
| Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch |
| instadeepai/nucleotide-transformer |
305 |
|
0 |
0 |
about 2 years ago |
0 |
|
12 |
other |
Python |
| 🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics |
| pinellolab/DNA-Diffusion |
297 |
|
0 |
0 |
about 2 years ago |
1 |
March 24, 2023 |
15 |
mit |
Jupyter Notebook |
| 🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨 |
| kundajelab/dragonn |
245 |
|
0 |
0 |
almost 4 years ago |
0 |
|
15 |
mit |
Jupyter Notebook |
| A toolkit to learn how to model and interpret regulatory sequence data using deep learning. |
| BIMSBbioinfo/janggu |
205 |
|
0 |
0 |
over 4 years ago |
19 |
August 04, 2020 |
0 |
gpl-3.0 |
Jupyter Notebook |
| Deep learning infrastructure for genomics |
